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Summary:

There has recently been a surge of interest in algebraic methods in machine learning.
In no particular order, this includes: new approaches to ranking problems e.g., [1][2][7][7b][12][13][14][17];
the budding field of algebraic statistics e.g., [3][4][15][16];
and various applications of non-commutative Fourier transforms [6][8][9][10].
The aim of the workshop is to bring together these distinct communities, explore connections,
and showcase algebraic methods to the machine learning community at large.
AML'08 is intended to be accessible to researchers with no prior exposure to
abstract algebra. The program includes three short tutorials that will cover the basic concepts
necessary for understanding cutting edge research in the field.

Registration:

AML'08 is part of the NIPS'08 conference and workshops.
To attend the symposium you must register either for the NIPS conference or the NIPS workshops.
To attend the workshop, you must register for the workshops.
For more information on registration, please see the NIPS website.